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Reporting Heterogeneity in Self-Assessed Health among Elderly Europeans: The Impact of Mental and Physical Health Status

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  • Pfarr, Christian
  • Schmid, Andreas
  • Schneider, Udo

Abstract

Self-assessed health (SAH) is a frequently used measure of individuals’ health status. It is also prone to reporting heterogeneity. To control for reporting heterogeneity valid measures of the objective health status are needed. The topic becomes even more complex for cross-country comparisons, as many key variables tend to vary strongly across countries, influenced by cultural and institutional differences. This study aims at exploring the key drivers for reporting heterogeneity in SAH in an international context. To this end, country specific effects are accounted for and the objective health measure is concretized, separating out effects of mental and physical health conditions. We use panel data from the Survey of Health, Ageing and Retirement in Europe (SHARE) which provides a rich dataset on the elderly European population. To obtain distinct indicators for physical and mental health conditions two indices were constructed. Finally, to identify potential reporting heterogeneity in SAH a generalized ordered probit model is estimated. We find evidence that health behaviour as well as health care utilization, mental and physical health condition as well as country characteristics affect reporting behaviour. We conclude that observed and unobserved heterogeneity play an important role when analysing SAH and have to be taken into account.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 29900.

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Date of creation: 28 Mar 2011
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Handle: RePEc:pra:mprapa:29900

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Keywords: reporting heterogeneity; SHARE; generalized ordered probit;

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References

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  1. Christian Pfarr & Andreas Schmid & Udo Schneider, 2011. "Estimating ordered categorical variables using panel data: a generalized ordered probit model with an autofit procedure," Journal of Economics and Econometrics, Economics and Econometrics Research Institute (EERI), Brussels, vol. 54(1), pages 7-23.
  2. Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981.
  3. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-point shift and index shift in self-reported health," Journal of Health Economics, Elsevier, vol. 23(6), pages 1083-1099, November.
  4. Hendrik Jürges, 2006. "True Health vs. Response Styles: Exploring Cross-country Differences in Self-reported Health," Discussion Papers of DIW Berlin 588, DIW Berlin, German Institute for Economic Research.
  5. Norma B. Coe & Gema Zamarro, 2008. "Retirement Effects on Health in Europe," Working Papers 588, RAND Corporation Publications Department.
  6. Nicolas R. Ziebarth, 2009. "Measurement of Health, the Sensitivity of the Concentration Index, and Reporting Heterogeneity," Discussion Papers of DIW Berlin 916, DIW Berlin, German Institute for Economic Research.
  7. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
  8. Udo Schneider & Christian Pfarr & Brit Schneider & Volker Ulrich, 2012. "I feel good! Gender differences and reporting heterogeneity in self-assessed health," The European Journal of Health Economics, Springer, vol. 13(3), pages 251-265, June.
  9. Teresa Bago d’Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O’Donnell & Somnath Chatterji, 2006. "Does reporting heterogeneity bias the measurement of health disparities?," Health, Econometrics and Data Group (HEDG) Working Papers 06/03, HEDG, c/o Department of Economics, University of York.
  10. Cristina Hernandez-Quevedo & Andrew M Jones & Nigel Rice, . "Reporting Bias and Heterogeneity in Self-Assessed Health. Evidence from the British Household Panel Survey," Discussion Papers 04/18, Department of Economics, University of York.
  11. Butler, J S, et al, 1987. "Measurement Error in Self-reported Health Variables," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 644-50, November.
  12. Teresa Bago d'Uva & Maarten Lindeboom & Owen O'Donnell & Eddy van Doorslaer, 2010. "Education-related Inequity in Health Care with Heterogeneous Reporting of Health," Tinbergen Institute Discussion Papers 10-122/3, Tinbergen Institute.
  13. Richard Disney & Carl Emmerson & Matthew Wakefield, 2003. "Ill health and retirement in Britain: a panel data based analysis," IFS Working Papers W03/02, Institute for Fiscal Studies.
  14. Maarten Lindeboom & Marcel Kerkhofs, 2009. "Health and work of the elderly: subjective health measures, reporting errors and endogeneity in the relationship between health and work," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 1024-1046.
  15. John Bound, 1991. "Self-Reported Versus Objective Measures of Health in Retirement Models," Journal of Human Resources, University of Wisconsin Press, vol. 26(1), pages 106-138.
  16. Ziebarth, Nicolas, 2010. "Measurement of health, health inequality, and reporting heterogeneity," Social Science & Medicine, Elsevier, vol. 71(1), pages 116-124, July.
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Cited by:
  1. Fujii, Mayu & Oshio, Takashi & Shimizutani, Satoshi, 2012. "Self-Rated Health Status of the Japanese and Europeans in Later Life: Evidence from JSTAR and SHARE," CIS Discussion paper series 572, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
  2. Andrew M. Jones; Nigel Rice, Silvana Robone; & Nigel Rice; & Silvana Robone:, 2012. "A comparison of parametric and non-parametric adjustments using vignettes for self-reported data," Health, Econometrics and Data Group (HEDG) Working Papers 12/10, HEDG, c/o Department of Economics, University of York.

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